Results 21 to 30 of about 15,543,195 (295)
On guarantee optimization in control problem with finite set of disturbances
Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2021 In this paper, we deal with a control problem under conditions of disturbances, which is stated as a problem of optimization of the guaranteed result. Compared to the classical formulation of such problems, we assume that the set of admissible disturbances is finite and consists of piecewise continuous functions.
Gomoyunov, M. I., Serkov, D. A.
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Guidelines for the Design of Finite Control Set Model Predictive Controllers
IEEE Transactions on Power Electronics, 2020 Direct model predictive control (MPC) with reference tracking, also referred to as finite control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the academic community. Thanks to its applicability to a wide range of power electronic systems, it is considered a promising control method for such systems.
Petros Karamanakos, Tobias Geyer
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Finite Set Control Transcription for Optimal Control Applications [PDF]
Journal of Spacecraft and Rockets, 2010 Abstract : An enhanced method in optimization rooted in direct collocation is formulated to treat the finite set optimal control problem. This is motivated by applications in which a hybrid dynamical system is subject to ordinary differential continuity constraints, but control variables are contained within finite spaces.
Stuart A. Stanton, Belinda G. Marchand
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Long‐horizon finite‐set model predictive control for grid‐connected photovoltaic inverters
, 2021 This article addresses the grid-connected single-phase photovoltaic (PV) inverter control. A long-horizon finite-set model predictive control (MPC) strategy is proposed to control the voltage source inverter.
Quanwei Qiu +7 more
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Global finite-time cooperative control for multiplemanipulators using integral sliding mode control [PDF]
, 2022 In this paper, a global finite-time cooperative control is first time proposed for cooperative multiple manipulators. The proposed control scheme is developed based on an integration between a finite-time disturbance observer (FTDO) and a finite-time ...
Ceglarek, Dariusz +6 more
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Finite Control Set Model Predictive Control for Polysolenoid Linear Motor
, 2021 In this study, the discontinuity of the voltage source inverter is considered when controlling Polysolenoid motors using model predictive control. When considering the instantaneous voltage across the motor with a non-ideal converter, the set of control ...
Nguyen Hong Quang, Nguyen Phung Quang, Dang Danh Hoang
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Frontiers in Energy Research, 2021 Model predictive control (MPC) methods are widely used in the power electronic control field, including finite control set model predictive control (FCS-MPC) and continuous control set model predictive control (CCS-MPC).
Jianfeng Yang, Yang Liu, Rui Yan
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A novel finite-control-set model predictive directive torque control strategy of permanent magnet synchronous motor with extended output [PDF]
, 2019 The performance of conventional direct torque control strategy from the viewpoint of flux and torque ripples has been unsatisfactory. Therefore, this study aims to propose a novel finite-control-set model predictive direct torque control strategy with ...
Du, Mingxing +9 more
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On the Choice of Norm in Finite Control Set Model Predictive Control
IEEE Transactions on Power Electronics, 2018 In power electronics, the $\ell _1$ -norm (instead of the squared $\ell _2$ -norm) is often used in the objective function of model predictive controllers (MPCs) with reference tracking. Although the $\ell _1$ -norm is preferred for its computational simplicity, it might lead to a performance deterioration and closed-loop instability.
Petros Karamanakos +2 more
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Finite control set model predictive control with feedback correction for power converters
CES Transactions on Electrical Machines and Systems, 2018 As an open-loop model predictive control algorithm, finite control set model predictive control (FCS-MPC) scheme in power converter system is based on assumption that responses of optimal control implemented on prediction model agree well with actual ...
Kun Shen, Jianghua Feng, Jing Zhang
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